Data Mining dengan Metode Clustering untuk Pengolahan Informasi Persediaan Obat pada Puskesmas Pandanaran Semarang

NUGRAHA, JOANNA ARDHYANTI MITA (2014) Data Mining dengan Metode Clustering untuk Pengolahan Informasi Persediaan Obat pada Puskesmas Pandanaran Semarang. Skripsi, Fakultas Ilmu Komputer.

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Abstract

Inventories of drugs is one of the important factors for the sustainability of the process at the health center. The absence of standard methods applied to a common problem. Because the supply of drugs to health centers generally only based on previous experience. That is just by checking drug supplies running low, then buy it. This is less than the maximum if a drug requires time in large numbers and it turns out the stock runs out. Application of data mining can help to analyze the use of drugs, to obtain information that can be used for planning and control of drug supply. The method is one of the functional clustering of data mining which is a grouping of data items into a number of small groups so that each group has something essential equations. K-Means algorithm is an algorithm which is the most popular and widely used in the use of clustering method of data mining. The result will be a kind of medicine with the use of information quickly every month which is taken from the last 3 years of data, which can later be used as a method of inventory control medication more effective and efficient at PHC Pandanaran.

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